Nothing
      library("testthat")
context("test-outOfSample.R")
suppressWarnings(RNGversion("3.5.0"))
test_that("Out-of-sample optimization", {
    skip_on_cran()
    set.seed(666)
    nrows <- 10000
    outOfSampleProp <- 0.2
    simulant <- simulateCyclopsData(nstrata = 1,
                                    nrows = nrows,
                                ncovars = 5,
                                model = "logistic")
    nOutSample <- nrows * outOfSampleProp
    nInSample <- nrows - nOutSample
    weights <- c(rep(1, nInSample), rep(0, nOutSample))
    data <- convertToCyclopsData(simulant$outcomes,
                                 simulant$covariates,
                                 modelType = "lr",
                                        addIntercept = TRUE)
    prior <- createPrior("laplace", variance = 1, exclude = "(Intercept)",
                         useCrossValidation = TRUE)
    control <- createWeightBasedSearchControl(initialValue = 1,
                                              noiseLevel = "noisy")
    optimal <- fitCyclopsModel(data, prior, control, weights = weights)
})
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